Software Engineer - Monitoring
The Staff Software Engineer on the Equipment Monitoring team at Confidential Client is responsible for designing and operating scalable backend systems that process telemetry from hundreds of thousands of IoT devices to provide real-time visibility into equipment location, utilization, and health. This role involves building stream-processing pipelines, collaborating with embedded and IoT teams, and maintaining cloud infrastructure to deliver reliable, high-quality software solutions in a hybrid work environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting, Technology, Information and Internet, Truck Transportation.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
About the Role
Confidential Client is hiring a backend engineer to help build and operate highly reliable, observable, and scalable services that process telemetry from hundreds of thousands of IoT devices. You will work on ingestion and stream-processing pipelines (Kafka, Flink) that turn raw sensor data into real-time locations, geofence events, trips, and alerts. This role partners closely with Embedded/Firmware and IoT teams to deliver end-to-end data solutions and runs on cloud infrastructure (primarily AWS).
What You’ll Do
- Develop and operate scalable backend services processing telemetry from asset gateways, BLE sensors, and beacons
- Build and maintain stream-processing pipelines (Kafka, Flink or similar) that power geo-fencing, alerting, trip construction, and real-time asset location
- Design and maintain APIs for internal and external consumers with high reliability and observability
- Collaborate with Embedded, IoT, and cross-functional teams on device data contracts and end-to-end feature delivery
- Improve system reliability by reducing technical debt, adding monitoring, and owning operational runbooks
- Work on AWS cloud infrastructure and mentor other engineers to raise the team’s engineering standards
- Use modern developer productivity tools and AI-assisted coding tools responsibly to improve output and code quality
Minimum Qualifications
- B.S. or M.S. in Computer Science or related field (or equivalent experience)
- 5+ years of professional software development experience
- Experience building distributed systems and event-driven / stream-processing pipelines (Kafka, Flink, Kinesis, or similar)
- Proficiency with modern backend languages; experience with Ruby, Golang, Kotlin/Java is a plus
- Experience with relational and NoSQL databases (PostgreSQL, DynamoDB, Redis, Cassandra, etc.)
- Practical experience operating services on cloud platforms (AWS, GCP, Azure, or private cloud)
- Strong ownership and problem-solving mindset
Nice-to-Have
- Experience with IoT or sensor data, geospatial systems (geofencing, location processing)
- Prior experience designing telemetry schemas and collaborating with embedded/firmware teams
- Familiarity with real-time monitoring, alerting, and observability tooling
Work Model & Location
- Hybrid role: expected to be in the Seattle, WA office approximately two days per week. Candidates must be able to commute to the Seattle area as required.
Compensation & Benefits
- Pay range for this role in the United States: $164,000—$200,000 USD (total cash compensation; actual pay may vary based on experience, location, and other factors).
- Benefits may include health, pharmacy, vision and dental plans, paid time off, disability and life insurance, and 401(k) contributions (eligibility and specifics depend on location and role).
Legal & Hiring Notes
- Applicants must be authorized to work in the U.S. as required for access to certain technologies and systems.
- Depending on role and location, certain post-offer agreements (e.g., restrictive covenants) may be required where lawful and enforceable; any such requirements will comply with applicable state law.
- Confidential Client and Careertakes make hiring decisions without unlawful discrimination and will provide reasonable accommodations during the application and interview process upon request.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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